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Revision 2744 by gezelter, Tue May 2 13:11:41 2006 UTC

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34   \begin{document}
35  
36 < \title{On the necessity of the Ewald Summation in molecular simulations.}
36 > \title{Is the Ewald summation still necessary? \\
37 > Pairwise alternatives to the accepted standard \\
38 > for long-range electrostatics}
39  
40 < \author{Christopher J. Fennell and J. Daniel Gezelter \\
40 > \author{Christopher J. Fennell and J. Daniel Gezelter\footnote{Corresponding author. \ Electronic mail:
41 > gezelter@nd.edu} \\
42   Department of Chemistry and Biochemistry\\
43   University of Notre Dame\\
44   Notre Dame, Indiana 46556}
# Line 33 | Line 49 | Notre Dame, Indiana 46556}
49   %\doublespacing
50  
51   \begin{abstract}
52 + We investigate pairwise electrostatic interaction methods and show
53 + that there are viable and computationally efficient $(\mathscr{O}(N))$
54 + alternatives to the Ewald summation for typical modern molecular
55 + simulations.  These methods are extended from the damped and
56 + cutoff-neutralized Coulombic sum originally proposed by
57 + [D. Wolf, P. Keblinski, S.~R. Phillpot, and J. Eggebrecht, {\it J. Chem. Phys.} {\bf 110}, 8255 (1999)] One of these, the damped shifted force method, shows
58 + a remarkable ability to reproduce the energetic and dynamic
59 + characteristics exhibited by simulations employing lattice summation
60 + techniques.  Comparisons were performed with this and other pairwise
61 + methods against the smooth particle mesh Ewald ({\sc spme}) summation
62 + to see how well they reproduce the energetics and dynamics of a
63 + variety of molecular simulations.
64   \end{abstract}
65  
66 + \newpage
67 +
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71   %                              BODY OF TEXT
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73  
74   \section{Introduction}
75 +
76 + In molecular simulations, proper accumulation of the electrostatic
77 + interactions is essential and is one of the most
78 + computationally-demanding tasks.  The common molecular mechanics force
79 + fields represent atomic sites with full or partial charges protected
80 + by Lennard-Jones (short range) interactions.  This means that nearly
81 + every pair interaction involves a calculation of charge-charge forces.
82 + Coupled with relatively long-ranged $r^{-1}$ decay, the monopole
83 + interactions quickly become the most expensive part of molecular
84 + simulations.  Historically, the electrostatic pair interaction would
85 + not have decayed appreciably within the typical box lengths that could
86 + be feasibly simulated.  In the larger systems that are more typical of
87 + modern simulations, large cutoffs should be used to incorporate
88 + electrostatics correctly.
89 +
90 + There have been many efforts to address the proper and practical
91 + handling of electrostatic interactions, and these have resulted in a
92 + variety of techniques.\cite{Roux99,Sagui99,Tobias01} These are
93 + typically classified as implicit methods (i.e., continuum dielectrics,
94 + static dipolar fields),\cite{Born20,Grossfield00} explicit methods
95 + (i.e., Ewald summations, interaction shifting or
96 + truncation),\cite{Ewald21,Steinbach94} or a mixture of the two (i.e.,
97 + reaction field type methods, fast multipole
98 + methods).\cite{Onsager36,Rokhlin85} The explicit or mixed methods are
99 + often preferred because they physically incorporate solvent molecules
100 + in the system of interest, but these methods are sometimes difficult
101 + to utilize because of their high computational cost.\cite{Roux99} In
102 + addition to the computational cost, there have been some questions
103 + regarding possible artifacts caused by the inherent periodicity of the
104 + explicit Ewald summation.\cite{Tobias01}
105 +
106 + In this paper, we focus on a new set of pairwise methods devised by
107 + Wolf {\it et al.},\cite{Wolf99} which we further extend.  These
108 + methods along with a few other mixed methods (i.e. reaction field) are
109 + compared with the smooth particle mesh Ewald
110 + sum,\cite{Onsager36,Essmann99} which is our reference method for
111 + handling long-range electrostatic interactions. The new methods for
112 + handling electrostatics have the potential to scale linearly with
113 + increasing system size since they involve only a simple modification
114 + to the direct pairwise sum.  They also lack the added periodicity of
115 + the Ewald sum, so they can be used for systems which are non-periodic
116 + or which have one- or two-dimensional periodicity.  Below, these
117 + methods are evaluated using a variety of model systems to
118 + establish their usability in molecular simulations.
119 +
120 + \subsection{The Ewald Sum}
121 + The complete accumulation of the electrostatic interactions in a system with
122 + periodic boundary conditions (PBC) requires the consideration of the
123 + effect of all charges within a (cubic) simulation box as well as those
124 + in the periodic replicas,
125 + \begin{equation}
126 + V_\textrm{elec} = \frac{1}{2} {\sum_{\mathbf{n}}}^\prime \left[ \sum_{i=1}^N\sum_{j=1}^N \phi\left( \mathbf{r}_{ij} + L\mathbf{n},\bm{\Omega}_i,\bm{\Omega}_j\right) \right],
127 + \label{eq:PBCSum}
128 + \end{equation}
129 + where the sum over $\mathbf{n}$ is a sum over all periodic box
130 + replicas with integer coordinates $\mathbf{n} = (l,m,n)$, and the
131 + prime indicates $i = j$ are neglected for $\mathbf{n} =
132 + 0$.\cite{deLeeuw80} Within the sum, $N$ is the number of electrostatic
133 + particles, $\mathbf{r}_{ij}$ is $\mathbf{r}_j - \mathbf{r}_i$, $L$ is
134 + the cell length, $\bm{\Omega}_{i,j}$ are the Euler angles for $i$ and
135 + $j$, and $\phi$ is the solution to Poisson's equation
136 + ($\phi(\mathbf{r}_{ij}) = q_i q_j |\mathbf{r}_{ij}|^{-1}$ for
137 + charge-charge interactions). In the case of monopole electrostatics,
138 + eq. (\ref{eq:PBCSum}) is conditionally convergent and is divergent for
139 + non-neutral systems.
140 +
141 + The electrostatic summation problem was originally studied by Ewald
142 + for the case of an infinite crystal.\cite{Ewald21}. The approach he
143 + took was to convert this conditionally convergent sum into two
144 + absolutely convergent summations: a short-ranged real-space summation
145 + and a long-ranged reciprocal-space summation,
146 + \begin{equation}
147 + \begin{split}
148 + V_\textrm{elec} = \frac{1}{2}& \sum_{i=1}^N\sum_{j=1}^N \Biggr[ q_i q_j\Biggr( {\sum_{\mathbf{n}}}^\prime \frac{\textrm{erfc}\left( \alpha|\mathbf{r}_{ij}+\mathbf{n}|\right)}{|\mathbf{r}_{ij}+\mathbf{n}|} \\ &+ \frac{1}{\pi L^3}\sum_{\mathbf{k}\ne 0}\frac{4\pi^2}{|\mathbf{k}|^2} \exp{\left(-\frac{\pi^2|\mathbf{k}|^2}{\alpha^2}\right) \cos\left(\mathbf{k}\cdot\mathbf{r}_{ij}\right)}\Biggr)\Biggr] \\ &- \frac{\alpha}{\pi^{1/2}}\sum_{i=1}^N q_i^2 + \frac{2\pi}{(2\epsilon_\textrm{S}+1)L^3}\left|\sum_{i=1}^N q_i\mathbf{r}_i\right|^2,
149 + \end{split}
150 + \label{eq:EwaldSum}
151 + \end{equation}
152 + where $\alpha$ is the damping or convergence parameter with units of
153 + \AA$^{-1}$, $\mathbf{k}$ are the reciprocal vectors and are equal to
154 + $2\pi\mathbf{n}/L^2$, and $\epsilon_\textrm{S}$ is the dielectric
155 + constant of the surrounding medium. The final two terms of
156 + eq. (\ref{eq:EwaldSum}) are a particle-self term and a dipolar term
157 + for interacting with a surrounding dielectric.\cite{Allen87} This
158 + dipolar term was neglected in early applications in molecular
159 + simulations,\cite{Brush66,Woodcock71} until it was introduced by de
160 + Leeuw {\it et al.} to address situations where the unit cell has a
161 + dipole moment which is magnified through replication of the periodic
162 + images.\cite{deLeeuw80,Smith81} If this term is taken to be zero, the
163 + system is said to be using conducting (or ``tin-foil'') boundary
164 + conditions, $\epsilon_{\rm S} = \infty$. Figure
165 + \ref{fig:ewaldTime} shows how the Ewald sum has been applied over
166 + time.  Initially, due to the small system sizes that could be
167 + simulated feasibly, the entire simulation box was replicated to
168 + convergence.  In more modern simulations, the systems have grown large
169 + enough that a real-space cutoff could potentially give convergent
170 + behavior.  Indeed, it has been observed that with the choice of a
171 + small $\alpha$, the reciprocal-space portion of the Ewald sum can be
172 + rapidly convergent and small relative to the real-space
173 + portion.\cite{Karasawa89,Kolafa92}
174 +
175 + \begin{figure}
176 + \centering
177 + \includegraphics[width = \linewidth]{./ewaldProgression.pdf}
178 + \caption{The change in the need for the Ewald sum with
179 + increasing computational power.  A:~Initially, only small systems
180 + could be studied, and the Ewald sum replicated the simulation box to
181 + convergence.  B:~Now, radial cutoff methods should be able to reach
182 + convergence for the larger systems of charges that are common today.}
183 + \label{fig:ewaldTime}
184 + \end{figure}
185 +
186 + The original Ewald summation is an $\mathscr{O}(N^2)$ algorithm.  The
187 + convergence parameter $(\alpha)$ plays an important role in balancing
188 + the computational cost between the direct and reciprocal-space
189 + portions of the summation.  The choice of this value allows one to
190 + select whether the real-space or reciprocal space portion of the
191 + summation is an $\mathscr{O}(N^2)$ calculation (with the other being
192 + $\mathscr{O}(N)$).\cite{Sagui99} With the appropriate choice of
193 + $\alpha$ and thoughtful algorithm development, this cost can be
194 + reduced to $\mathscr{O}(N^{3/2})$.\cite{Perram88} The typical route
195 + taken to reduce the cost of the Ewald summation even further is to set
196 + $\alpha$ such that the real-space interactions decay rapidly, allowing
197 + for a short spherical cutoff. Then the reciprocal space summation is
198 + optimized.  These optimizations usually involve utilization of the
199 + fast Fourier transform (FFT),\cite{Hockney81} leading to the
200 + particle-particle particle-mesh (P3M) and particle mesh Ewald (PME)
201 + methods.\cite{Shimada93,Luty94,Luty95,Darden93,Essmann95} In these
202 + methods, the cost of the reciprocal-space portion of the Ewald
203 + summation is reduced from $\mathscr{O}(N^2)$ down to $\mathscr{O}(N
204 + \log N)$.
205 +
206 + These developments and optimizations have made the use of the Ewald
207 + summation routine in simulations with periodic boundary
208 + conditions. However, in certain systems, such as vapor-liquid
209 + interfaces and membranes, the intrinsic three-dimensional periodicity
210 + can prove problematic.  The Ewald sum has been reformulated to handle
211 + 2-D systems,\cite{Parry75,Parry76,Heyes77,deLeeuw79,Rhee89} but these
212 + methods are computationally expensive.\cite{Spohr97,Yeh99} More
213 + recently, there have been several successful efforts toward reducing
214 + the computational cost of 2-D lattice
215 + summations,\cite{Yeh99,Kawata01,Arnold02,deJoannis02,Brodka04}
216 + bringing them more in line with the cost of the full 3-D summation.
217 +
218 +
219 + Several studies have recognized that the inherent periodicity in the
220 + Ewald sum can also have an effect on three-dimensional
221 + systems.\cite{Roberts94,Roberts95,Luty96,Hunenberger99a,Hunenberger99b,Weber00}
222 + Solvated proteins are essentially kept at high concentration due to
223 + the periodicity of the electrostatic summation method.  In these
224 + systems, the more compact folded states of a protein can be
225 + artificially stabilized by the periodic replicas introduced by the
226 + Ewald summation.\cite{Weber00} Thus, care must be taken when
227 + considering the use of the Ewald summation where the assumed
228 + periodicity would introduce spurious effects in the system dynamics.
229 +
230 + \subsection{The Wolf and Zahn Methods}
231 + In a recent paper by Wolf \textit{et al.}, a procedure was outlined
232 + for the accurate accumulation of electrostatic interactions in an
233 + efficient pairwise fashion.  This procedure lacks the inherent
234 + periodicity of the Ewald summation.\cite{Wolf99} Wolf \textit{et al.}
235 + observed that the electrostatic interaction is effectively
236 + short-ranged in condensed phase systems and that neutralization of the
237 + charge contained within the cutoff radius is crucial for potential
238 + stability. They devised a pairwise summation method that ensures
239 + charge neutrality and gives results similar to those obtained with the
240 + Ewald summation.  The resulting shifted Coulomb potential includes
241 + image-charges subtracted out through placement on the cutoff sphere
242 + and a distance-dependent damping function (identical to that seen in
243 + the real-space portion of the Ewald sum) to aid convergence
244 + \begin{equation}
245 + V_{\textrm{Wolf}}(r_{ij})= \frac{q_i q_j \textrm{erfc}(\alpha r_{ij})}{r_{ij}}-\lim_{r_{ij}\rightarrow R_\textrm{c}}\left\{\frac{q_iq_j \textrm{erfc}(\alpha r_{ij})}{r_{ij}}\right\}.
246 + \label{eq:WolfPot}
247 + \end{equation}
248 + Eq. (\ref{eq:WolfPot}) is essentially the common form of a shifted
249 + potential.  However, neutralizing the charge contained within each
250 + cutoff sphere requires the placement of a self-image charge on the
251 + surface of the cutoff sphere.  This additional self-term in the total
252 + potential enabled Wolf {\it et al.}  to obtain excellent estimates of
253 + Madelung energies for many crystals.
254 +
255 + In order to use their charge-neutralized potential in molecular
256 + dynamics simulations, Wolf \textit{et al.} suggested taking the
257 + derivative of this potential prior to evaluation of the limit.  This
258 + procedure gives an expression for the forces,
259 + \begin{equation}
260 + F_{\textrm{Wolf}}(r_{ij}) = q_i q_j\left\{\left[\frac{\textrm{erfc}\left(\alpha r_{ij}\right)}{r^2_{ij}}+\frac{2\alpha}{\pi^{1/2}}\frac{\exp{\left(-\alpha^2r_{ij}^2\right)}}{r_{ij}}\right]-\left[\frac{\textrm{erfc}\left(\alpha R_{\textrm{c}}\right)}{R_{\textrm{c}}^2}+\frac{2\alpha}{\pi^{1/2}}\frac{\exp{\left(-\alpha^2R_{\textrm{c}}^2\right)}}{R_{\textrm{c}}}\right]\right\},
261 + \label{eq:WolfForces}
262 + \end{equation}
263 + that incorporates both image charges and damping of the electrostatic
264 + interaction.
265 +
266 + More recently, Zahn \textit{et al.} investigated these potential and
267 + force expressions for use in simulations involving water.\cite{Zahn02}
268 + In their work, they pointed out that the forces and derivative of
269 + the potential are not commensurate.  Attempts to use both
270 + eqs. (\ref{eq:WolfPot}) and (\ref{eq:WolfForces}) together will lead
271 + to poor energy conservation.  They correctly observed that taking the
272 + limit shown in equation (\ref{eq:WolfPot}) {\it after} calculating the
273 + derivatives gives forces for a different potential energy function
274 + than the one shown in eq. (\ref{eq:WolfPot}).
275 +
276 + Zahn \textit{et al.} introduced a modified form of this summation
277 + method as a way to use the technique in Molecular Dynamics
278 + simulations.  They proposed a new damped Coulomb potential,
279 + \begin{equation}
280 + V_{\textrm{Zahn}}(r_{ij}) = q_iq_j\left\{\frac{\mathrm{erfc}\left(\alpha r_{ij}\right)}{r_{ij}}-\left[\frac{\mathrm{erfc}\left(\alpha R_\mathrm{c}\right)}{R_\mathrm{c}^2}+\frac{2\alpha}{\pi^{1/2}}\frac{\exp\left(-\alpha^2R_\mathrm{c}^2\right)}{R_\mathrm{c}}\right]\left(r_{ij}-R_\mathrm{c}\right)\right\},
281 + \label{eq:ZahnPot}
282 + \end{equation}
283 + and showed that this potential does fairly well at capturing the
284 + structural and dynamic properties of water compared the same
285 + properties obtained using the Ewald sum.
286 +
287 + \subsection{Simple Forms for Pairwise Electrostatics}
288 +
289 + The potentials proposed by Wolf \textit{et al.} and Zahn \textit{et
290 + al.} are constructed using two different (and separable) computational
291 + tricks: \begin{enumerate}
292 + \item shifting through the use of image charges, and
293 + \item damping the electrostatic interaction.
294 + \end{enumerate}  Wolf \textit{et al.} treated the
295 + development of their summation method as a progressive application of
296 + these techniques,\cite{Wolf99} while Zahn \textit{et al.} founded
297 + their damped Coulomb modification (Eq. (\ref{eq:ZahnPot})) on the
298 + post-limit forces (Eq. (\ref{eq:WolfForces})) which were derived using
299 + both techniques.  It is possible, however, to separate these
300 + tricks and study their effects independently.
301 +
302 + Starting with the original observation that the effective range of the
303 + electrostatic interaction in condensed phases is considerably less
304 + than $r^{-1}$, either the cutoff sphere neutralization or the
305 + distance-dependent damping technique could be used as a foundation for
306 + a new pairwise summation method.  Wolf \textit{et al.} made the
307 + observation that charge neutralization within the cutoff sphere plays
308 + a significant role in energy convergence; therefore we will begin our
309 + analysis with the various shifted forms that maintain this charge
310 + neutralization.  We can evaluate the methods of Wolf
311 + \textit{et al.}  and Zahn \textit{et al.} by considering the standard
312 + shifted potential,
313 + \begin{equation}
314 + V_\textrm{SP}(r) =      \begin{cases}
315 + v(r)-v_\textrm{c} &\quad r\leqslant R_\textrm{c} \\ 0 &\quad r >
316 + R_\textrm{c}  
317 + \end{cases},
318 + \label{eq:shiftingPotForm}
319 + \end{equation}
320 + and shifted force,
321 + \begin{equation}
322 + V_\textrm{SF}(r) =      \begin{cases}
323 + v(r)-v_\textrm{c}-\left(\frac{d v(r)}{d r}\right)_{r=R_\textrm{c}}(r-R_\textrm{c})
324 + &\quad r\leqslant R_\textrm{c} \\ 0 &\quad r > R_\textrm{c}
325 +                                                \end{cases},
326 + \label{eq:shiftingForm}
327 + \end{equation}
328 + functions where $v(r)$ is the unshifted form of the potential, and
329 + $v_c$ is $v(R_\textrm{c})$.  The Shifted Force ({\sc sf}) form ensures
330 + that both the potential and the forces goes to zero at the cutoff
331 + radius, while the Shifted Potential ({\sc sp}) form only ensures the
332 + potential is smooth at the cutoff radius
333 + ($R_\textrm{c}$).\cite{Allen87}
334  
335 + The forces associated with the shifted potential are simply the forces
336 + of the unshifted potential itself (when inside the cutoff sphere),
337 + \begin{equation}
338 + F_{\textrm{SP}} = -\left( \frac{d v(r)}{dr} \right),
339 + \end{equation}
340 + and are zero outside.  Inside the cutoff sphere, the forces associated
341 + with the shifted force form can be written,
342 + \begin{equation}
343 + F_{\textrm{SF}} = -\left( \frac{d v(r)}{dr} \right) + \left(\frac{d
344 + v(r)}{dr} \right)_{r=R_\textrm{c}}.
345 + \end{equation}
346 +
347 + If the potential, $v(r)$, is taken to be the normal Coulomb potential,
348 + \begin{equation}
349 + v(r) = \frac{q_i q_j}{r},
350 + \label{eq:Coulomb}
351 + \end{equation}
352 + then the Shifted Potential ({\sc sp}) forms will give Wolf {\it et
353 + al.}'s undamped prescription:
354 + \begin{equation}
355 + V_\textrm{SP}(r) =
356 + q_iq_j\left(\frac{1}{r}-\frac{1}{R_\textrm{c}}\right) \quad
357 + r\leqslant R_\textrm{c},
358 + \label{eq:SPPot}
359 + \end{equation}
360 + with associated forces,
361 + \begin{equation}
362 + F_\textrm{SP}(r) = q_iq_j\left(\frac{1}{r^2}\right) \quad r\leqslant R_\textrm{c}.
363 + \label{eq:SPForces}
364 + \end{equation}
365 + These forces are identical to the forces of the standard Coulomb
366 + interaction, and cutting these off at $R_c$ was addressed by Wolf
367 + \textit{et al.} as undesirable.  They pointed out that the effect of
368 + the image charges is neglected in the forces when this form is
369 + used,\cite{Wolf99} thereby eliminating any benefit from the method in
370 + molecular dynamics.  Additionally, there is a discontinuity in the
371 + forces at the cutoff radius which results in energy drift during MD
372 + simulations.
373 +
374 + The shifted force ({\sc sf}) form using the normal Coulomb potential
375 + will give,
376 + \begin{equation}
377 + V_\textrm{SF}(r) = q_iq_j\left[\frac{1}{r}-\frac{1}{R_\textrm{c}}+\left(\frac{1}{R_\textrm{c}^2}\right)(r-R_\textrm{c})\right] \quad r\leqslant R_\textrm{c}.
378 + \label{eq:SFPot}
379 + \end{equation}
380 + with associated forces,
381 + \begin{equation}
382 + F_\textrm{SF}(r) =  q_iq_j\left(\frac{1}{r^2}-\frac{1}{R_\textrm{c}^2}\right) \quad r\leqslant R_\textrm{c}.
383 + \label{eq:SFForces}
384 + \end{equation}
385 + This formulation has the benefits that there are no discontinuities at
386 + the cutoff radius, while the neutralizing image charges are present in
387 + both the energy and force expressions.  It would be simple to add the
388 + self-neutralizing term back when computing the total energy of the
389 + system, thereby maintaining the agreement with the Madelung energies.
390 + A side effect of this treatment is the alteration in the shape of the
391 + potential that comes from the derivative term.  Thus, a degree of
392 + clarity about agreement with the empirical potential is lost in order
393 + to gain functionality in dynamics simulations.
394 +
395 + Wolf \textit{et al.} originally discussed the energetics of the
396 + shifted Coulomb potential (Eq. \ref{eq:SPPot}) and found that it was
397 + insufficient for accurate determination of the energy with reasonable
398 + cutoff distances.  The calculated Madelung energies fluctuated around
399 + the expected value as the cutoff radius was increased, but the
400 + oscillations converged toward the correct value.\cite{Wolf99} A
401 + damping function was incorporated to accelerate the convergence; and
402 + though alternative forms for the damping function could be
403 + used,\cite{Jones56,Heyes81} the complimentary error function was
404 + chosen to mirror the effective screening used in the Ewald summation.
405 + Incorporating this error function damping into the simple Coulomb
406 + potential,
407 + \begin{equation}
408 + v(r) = \frac{\mathrm{erfc}\left(\alpha r\right)}{r},
409 + \label{eq:dampCoulomb}
410 + \end{equation}
411 + the shifted potential (eq. (\ref{eq:SPPot})) becomes
412 + \begin{equation}
413 + V_{\textrm{DSP}}(r) = q_iq_j\left(\frac{\textrm{erfc}\left(\alpha r\right)}{r}-\frac{\textrm{erfc}\left(\alpha R_\textrm{c}\right)}{R_\textrm{c}}\right) \quad r\leqslant R_\textrm{c},
414 + \label{eq:DSPPot}
415 + \end{equation}
416 + with associated forces,
417 + \begin{equation}
418 + F_{\textrm{DSP}}(r) = q_iq_j\left(\frac{\textrm{erfc}\left(\alpha r\right)}{r^2}+\frac{2\alpha}{\pi^{1/2}}\frac{\exp{\left(-\alpha^2r^2\right)}}{r}\right) \quad r\leqslant R_\textrm{c}.
419 + \label{eq:DSPForces}
420 + \end{equation}
421 + Again, this damped shifted potential suffers from a
422 + force-discontinuity at the cutoff radius, and the image charges play
423 + no role in the forces.  To remedy these concerns, one may derive a
424 + {\sc sf} variant by including the derivative term in
425 + eq. (\ref{eq:shiftingForm}),
426 + \begin{equation}
427 + \begin{split}
428 + V_\mathrm{DSF}(r) = q_iq_j\Biggr{[}&\frac{\mathrm{erfc}\left(\alpha r\right)}{r}-\frac{\mathrm{erfc}\left(\alpha R_\mathrm{c}\right)}{R_\mathrm{c}} \\ &\left.+\left(\frac{\mathrm{erfc}\left(\alpha R_\mathrm{c}\right)}{R_\mathrm{c}^2}+\frac{2\alpha}{\pi^{1/2}}\frac{\exp\left(-\alpha^2R_\mathrm{c}^2\right)}{R_\mathrm{c}}\right)\left(r-R_\mathrm{c}\right)\ \right] \quad r\leqslant R_\textrm{c}.
429 + \label{eq:DSFPot}
430 + \end{split}
431 + \end{equation}
432 + The derivative of the above potential will lead to the following forces,
433 + \begin{equation}
434 + \begin{split}
435 + F_\mathrm{DSF}(r) = q_iq_j\Biggr{[}&\left(\frac{\textrm{erfc}\left(\alpha r\right)}{r^2}+\frac{2\alpha}{\pi^{1/2}}\frac{\exp{\left(-\alpha^2r^2\right)}}{r}\right) \\ &\left.-\left(\frac{\textrm{erfc}\left(\alpha R_{\textrm{c}}\right)}{R_{\textrm{c}}^2}+\frac{2\alpha}{\pi^{1/2}}\frac{\exp{\left(-\alpha^2R_{\textrm{c}}^2\right)}}{R_{\textrm{c}}}\right)\right] \quad r\leqslant R_\textrm{c}.
436 + \label{eq:DSFForces}
437 + \end{split}
438 + \end{equation}
439 + If the damping parameter $(\alpha)$ is set to zero, the undamped case,
440 + eqs. (\ref{eq:SPPot} through \ref{eq:SFForces}) are correctly
441 + recovered from eqs. (\ref{eq:DSPPot} through \ref{eq:DSFForces}).
442 +
443 + This new {\sc sf} potential is similar to equation \ref{eq:ZahnPot}
444 + derived by Zahn \textit{et al.}; however, there are two important
445 + differences.\cite{Zahn02} First, the $v_\textrm{c}$ term from
446 + eq. (\ref{eq:shiftingForm}) is equal to eq. (\ref{eq:dampCoulomb})
447 + with $r$ replaced by $R_\textrm{c}$.  This term is {\it not} present
448 + in the Zahn potential, resulting in a potential discontinuity as
449 + particles cross $R_\textrm{c}$.  Second, the sign of the derivative
450 + portion is different.  The missing $v_\textrm{c}$ term would not
451 + affect molecular dynamics simulations (although the computed energy
452 + would be expected to have sudden jumps as particle distances crossed
453 + $R_c$).  The sign problem is a potential source of errors, however.
454 + In fact, it introduces a discontinuity in the forces at the cutoff,
455 + because the force function is shifted in the wrong direction and
456 + doesn't cross zero at $R_\textrm{c}$.
457 +
458 + Eqs. (\ref{eq:DSFPot}) and (\ref{eq:DSFForces}) result in an
459 + electrostatic summation method in which the potential and forces are
460 + continuous at the cutoff radius and which incorporates the damping
461 + function proposed by Wolf \textit{et al.}\cite{Wolf99} In the rest of
462 + this paper, we will evaluate exactly how good these methods ({\sc sp},
463 + {\sc sf}, damping) are at reproducing the correct electrostatic
464 + summation performed by the Ewald sum.
465 +
466 + \subsection{Other alternatives}
467 + In addition to the methods described above, we considered some other
468 + techniques that are commonly used in molecular simulations.  The
469 + simplest of these is group-based cutoffs.  Though of little use for
470 + charged molecules, collecting atoms into neutral groups takes
471 + advantage of the observation that the electrostatic interactions decay
472 + faster than those for monopolar pairs.\cite{Steinbach94} When
473 + considering these molecules as neutral groups, the relative
474 + orientations of the molecules control the strength of the interactions
475 + at the cutoff radius.  Consequently, as these molecular particles move
476 + through $R_\textrm{c}$, the energy will drift upward due to the
477 + anisotropy of the net molecular dipole interactions.\cite{Rahman71} To
478 + maintain good energy conservation, both the potential and derivative
479 + need to be smoothly switched to zero at $R_\textrm{c}$.\cite{Adams79}
480 + This is accomplished using a standard switching function.  If a smooth
481 + second derivative is desired, a fifth (or higher) order polynomial can
482 + be used.\cite{Andrea83}
483 +
484 + Group-based cutoffs neglect the surroundings beyond $R_\textrm{c}$,
485 + and to incorporate the effects of the surroundings, a method like
486 + Reaction Field ({\sc rf}) can be used.  The original theory for {\sc
487 + rf} was originally developed by Onsager,\cite{Onsager36} and it was
488 + applied in simulations for the study of water by Barker and
489 + Watts.\cite{Barker73} In modern simulation codes, {\sc rf} is simply
490 + an extension of the group-based cutoff method where the net dipole
491 + within the cutoff sphere polarizes an external dielectric, which
492 + reacts back on the central dipole.  The same switching function
493 + considerations for group-based cutoffs need to made for {\sc rf}, with
494 + the additional pre-specification of a dielectric constant.
495 +
496   \section{Methods}
497  
498 + In classical molecular mechanics simulations, there are two primary
499 + techniques utilized to obtain information about the system of
500 + interest: Monte Carlo (MC) and Molecular Dynamics (MD).  Both of these
501 + techniques utilize pairwise summations of interactions between
502 + particle sites, but they use these summations in different ways.
503 +
504 + In MC, the potential energy difference between configurations dictates
505 + the progression of MC sampling.  Going back to the origins of this
506 + method, the acceptance criterion for the canonical ensemble laid out
507 + by Metropolis \textit{et al.} states that a subsequent configuration
508 + is accepted if $\Delta E < 0$ or if $\xi < \exp(-\Delta E/kT)$, where
509 + $\xi$ is a random number between 0 and 1.\cite{Metropolis53}
510 + Maintaining the correct $\Delta E$ when using an alternate method for
511 + handling the long-range electrostatics will ensure proper sampling
512 + from the ensemble.
513 +
514 + In MD, the derivative of the potential governs how the system will
515 + progress in time.  Consequently, the force and torque vectors on each
516 + body in the system dictate how the system evolves.  If the magnitude
517 + and direction of these vectors are similar when using alternate
518 + electrostatic summation techniques, the dynamics in the short term
519 + will be indistinguishable.  Because error in MD calculations is
520 + cumulative, one should expect greater deviation at longer times,
521 + although methods which have large differences in the force and torque
522 + vectors will diverge from each other more rapidly.
523 +
524 + \subsection{Monte Carlo and the Energy Gap}\label{sec:MCMethods}
525 +
526 + The pairwise summation techniques (outlined in section
527 + \ref{sec:ESMethods}) were evaluated for use in MC simulations by
528 + studying the energy differences between conformations.  We took the
529 + {\sc spme}-computed energy difference between two conformations to be the
530 + correct behavior. An ideal performance by an alternative method would
531 + reproduce these energy differences exactly (even if the absolute
532 + energies calculated by the methods are different).  Since none of the
533 + methods provide exact energy differences, we used linear least squares
534 + regressions of energy gap data to evaluate how closely the methods
535 + mimicked the Ewald energy gaps.  Unitary results for both the
536 + correlation (slope) and correlation coefficient for these regressions
537 + indicate perfect agreement between the alternative method and {\sc spme}.
538 + Sample correlation plots for two alternate methods are shown in
539 + Fig. \ref{fig:linearFit}.
540 +
541 + \begin{figure}
542 + \centering
543 + \includegraphics[width = \linewidth]{./dualLinear.pdf}
544 + \caption{Example least squares regressions of the configuration energy
545 + differences for SPC/E water systems. The upper plot shows a data set
546 + with a poor correlation coefficient ($R^2$), while the lower plot
547 + shows a data set with a good correlation coefficient.}
548 + \label{fig:linearFit}
549 + \end{figure}
550 +
551 + Each of the seven system types (detailed in section \ref{sec:RepSims})
552 + were represented using 500 independent configurations.  Thus, each of
553 + the alternative (non-Ewald) electrostatic summation methods was
554 + evaluated using an accumulated 873,250 configurational energy
555 + differences.
556 +
557 + Results and discussion for the individual analysis of each of the
558 + system types appear in the supporting information,\cite{EPAPSdeposit}
559 + while the cumulative results over all the investigated systems appears
560 + below in section \ref{sec:EnergyResults}.
561 +
562 + \subsection{Molecular Dynamics and the Force and Torque Vectors}\label{sec:MDMethods}
563 + We evaluated the pairwise methods (outlined in section
564 + \ref{sec:ESMethods}) for use in MD simulations by
565 + comparing the force and torque vectors with those obtained using the
566 + reference Ewald summation ({\sc spme}).  Both the magnitude and the
567 + direction of these vectors on each of the bodies in the system were
568 + analyzed.  For the magnitude of these vectors, linear least squares
569 + regression analyses were performed as described previously for
570 + comparing $\Delta E$ values.  Instead of a single energy difference
571 + between two system configurations, we compared the magnitudes of the
572 + forces (and torques) on each molecule in each configuration.  For a
573 + system of 1000 water molecules and 40 ions, there are 1040 force
574 + vectors and 1000 torque vectors.  With 500 configurations, this
575 + results in 520,000 force and 500,000 torque vector comparisons.
576 + Additionally, data from seven different system types was aggregated
577 + before the comparison was made.
578 +
579 + The {\it directionality} of the force and torque vectors was
580 + investigated through measurement of the angle ($\theta$) formed
581 + between those computed from the particular method and those from {\sc spme},
582 + \begin{equation}
583 + \theta_f = \cos^{-1} \left(\hat{F}_\textrm{SPME} \cdot \hat{F}_\textrm{M}\right),
584 + \end{equation}
585 + where $\hat{F}_\textrm{M}$ is the unit vector pointing along the force
586 + vector computed using method M.  Each of these $\theta$ values was
587 + accumulated in a distribution function and weighted by the area on the
588 + unit sphere.  Since this distribution is a measure of angular error
589 + between two different electrostatic summation methods, there is no
590 + {\it a priori} reason for the profile to adhere to any specific
591 + shape. Thus, gaussian fits were used to measure the width of the
592 + resulting distributions. The variance ($\sigma^2$) was extracted from
593 + each of these fits and was used to compare distribution widths.
594 + Values of $\sigma^2$ near zero indicate vector directions
595 + indistinguishable from those calculated when using the reference
596 + method ({\sc spme}).
597 +
598 + \subsection{Short-time Dynamics}
599 +
600 + The effects of the alternative electrostatic summation methods on the
601 + short-time dynamics of charged systems were evaluated by considering a
602 + NaCl crystal at a temperature of 1000 K.  A subset of the best
603 + performing pairwise methods was used in this comparison.  The NaCl
604 + crystal was chosen to avoid possible complications from the treatment
605 + of orientational motion in molecular systems.  All systems were
606 + started with the same initial positions and velocities.  Simulations
607 + were performed under the microcanonical ensemble, and velocity
608 + autocorrelation functions (Eq. \ref{eq:vCorr}) were computed for each
609 + of the trajectories,
610 + \begin{equation}
611 + C_v(t) = \frac{\langle v(0)\cdot v(t)\rangle}{\langle v^2\rangle}.
612 + \label{eq:vCorr}
613 + \end{equation}
614 + Velocity autocorrelation functions require detailed short time data,
615 + thus velocity information was saved every 2 fs over 10 ps
616 + trajectories. Because the NaCl crystal is composed of two different
617 + atom types, the average of the two resulting velocity autocorrelation
618 + functions was used for comparisons.
619 +
620 + \subsection{Long-Time and Collective Motion}\label{sec:LongTimeMethods}
621 +
622 + The effects of the same subset of alternative electrostatic methods on
623 + the {\it long-time} dynamics of charged systems were evaluated using
624 + the same model system (NaCl crystals at 1000~K).  The power spectrum
625 + ($I(\omega)$) was obtained via Fourier transform of the velocity
626 + autocorrelation function, \begin{equation} I(\omega) =
627 + \frac{1}{2\pi}\int^{\infty}_{-\infty}C_v(t)e^{-i\omega t}dt,
628 + \label{eq:powerSpec}
629 + \end{equation}
630 + where the frequency, $\omega=0,\ 1,\ ...,\ N-1$. Again, because the
631 + NaCl crystal is composed of two different atom types, the average of
632 + the two resulting power spectra was used for comparisons. Simulations
633 + were performed under the microcanonical ensemble, and velocity
634 + information was saved every 5~fs over 100~ps trajectories.
635 +
636 + \subsection{Representative Simulations}\label{sec:RepSims}
637 + A variety of representative molecular simulations were analyzed to
638 + determine the relative effectiveness of the pairwise summation
639 + techniques in reproducing the energetics and dynamics exhibited by
640 + {\sc spme}.  We wanted to span the space of typical molecular
641 + simulations (i.e. from liquids of neutral molecules to ionic
642 + crystals), so the systems studied were:
643 + \begin{enumerate}
644 + \item liquid water (SPC/E),\cite{Berendsen87}
645 + \item crystalline water (Ice I$_\textrm{c}$ crystals of SPC/E),
646 + \item NaCl crystals,
647 + \item NaCl melts,
648 + \item a low ionic strength solution of NaCl in water (0.11 M),
649 + \item a high ionic strength solution of NaCl in water (1.1 M), and
650 + \item a 6 \AA\  radius sphere of Argon in water.
651 + \end{enumerate}
652 + By utilizing the pairwise techniques (outlined in section
653 + \ref{sec:ESMethods}) in systems composed entirely of neutral groups,
654 + charged particles, and mixtures of the two, we hope to discern under
655 + which conditions it will be possible to use one of the alternative
656 + summation methodologies instead of the Ewald sum.
657 +
658 + For the solid and liquid water configurations, configurations were
659 + taken at regular intervals from high temperature trajectories of 1000
660 + SPC/E water molecules.  Each configuration was equilibrated
661 + independently at a lower temperature (300~K for the liquid, 200~K for
662 + the crystal).  The solid and liquid NaCl systems consisted of 500
663 + $\textrm{Na}^{+}$ and 500 $\textrm{Cl}^{-}$ ions.  Configurations for
664 + these systems were selected and equilibrated in the same manner as the
665 + water systems. In order to introduce measurable fluctuations in the
666 + configuration energy differences, the crystalline simulations were
667 + equilibrated at 1000~K, near the $T_\textrm{m}$ for NaCl. The liquid
668 + NaCl configurations needed to represent a fully disordered array of
669 + point charges, so the high temperature of 7000~K was selected for
670 + equilibration. The ionic solutions were made by solvating 4 (or 40)
671 + ions in a periodic box containing 1000 SPC/E water molecules.  Ion and
672 + water positions were then randomly swapped, and the resulting
673 + configurations were again equilibrated individually.  Finally, for the
674 + Argon / Water ``charge void'' systems, the identities of all the SPC/E
675 + waters within 6 \AA\ of the center of the equilibrated water
676 + configurations were converted to argon.
677 +
678 + These procedures guaranteed us a set of representative configurations
679 + from chemically-relevant systems sampled from appropriate
680 + ensembles. Force field parameters for the ions and Argon were taken
681 + from the force field utilized by {\sc oopse}.\cite{Meineke05}
682 +
683 + \subsection{Comparison of Summation Methods}\label{sec:ESMethods}
684 + We compared the following alternative summation methods with results
685 + from the reference method ({\sc spme}):
686 + \begin{itemize}
687 + \item {\sc sp} with damping parameters ($\alpha$) of 0.0, 0.1, 0.2,
688 + and 0.3 \AA$^{-1}$,
689 + \item {\sc sf} with damping parameters ($\alpha$) of 0.0, 0.1, 0.2,
690 + and 0.3 \AA$^{-1}$,
691 + \item reaction field with an infinite dielectric constant, and
692 + \item an unmodified cutoff.
693 + \end{itemize}
694 + Group-based cutoffs with a fifth-order polynomial switching function
695 + were utilized for the reaction field simulations.  Additionally, we
696 + investigated the use of these cutoffs with the {\sc sp}, {\sc sf}, and pure
697 + cutoff.  The {\sc spme} electrostatics were performed using the {\sc tinker}
698 + implementation of {\sc spme},\cite{Ponder87} while all other calculations
699 + were performed using the {\sc oopse} molecular mechanics
700 + package.\cite{Meineke05} All other portions of the energy calculation
701 + (i.e. Lennard-Jones interactions) were handled in exactly the same
702 + manner across all systems and configurations.
703 +
704 + The alternative methods were also evaluated with three different
705 + cutoff radii (9, 12, and 15 \AA).  As noted previously, the
706 + convergence parameter ($\alpha$) plays a role in the balance of the
707 + real-space and reciprocal-space portions of the Ewald calculation.
708 + Typical molecular mechanics packages set this to a value dependent on
709 + the cutoff radius and a tolerance (typically less than $1 \times
710 + 10^{-4}$ kcal/mol).  Smaller tolerances are typically associated with
711 + increasing accuracy at the expense of computational time spent on the
712 + reciprocal-space portion of the summation.\cite{Perram88,Essmann95}
713 + The default {\sc tinker} tolerance of $1 \times 10^{-8}$ kcal/mol was used
714 + in all {\sc spme} calculations, resulting in Ewald coefficients of 0.4200,
715 + 0.3119, and 0.2476 \AA$^{-1}$ for cutoff radii of 9, 12, and 15 \AA\
716 + respectively.
717 +
718   \section{Results and Discussion}
719 +
720 + \subsection{Configuration Energy Differences}\label{sec:EnergyResults}
721 + In order to evaluate the performance of the pairwise electrostatic
722 + summation methods for Monte Carlo simulations, the energy differences
723 + between configurations were compared to the values obtained when using
724 + {\sc spme}.  The results for the subsequent regression analysis are shown in
725 + figure \ref{fig:delE}.
726 +
727 + \begin{figure}
728 + \centering
729 + \includegraphics[width=5.5in]{./delEplot.pdf}
730 + \caption{Statistical analysis of the quality of configurational energy
731 + differences for a given electrostatic method compared with the
732 + reference Ewald sum.  Results with a value equal to 1 (dashed line)
733 + indicate $\Delta E$ values indistinguishable from those obtained using
734 + {\sc spme}.  Different values of the cutoff radius are indicated with
735 + different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ =
736 + inverted triangles).}
737 + \label{fig:delE}
738 + \end{figure}
739 +
740 + The most striking feature of this plot is how well the Shifted Force
741 + ({\sc sf}) and Shifted Potential ({\sc sp}) methods capture the energy
742 + differences.  For the undamped {\sc sf} method, and the
743 + moderately-damped {\sc sp} methods, the results are nearly
744 + indistinguishable from the Ewald results.  The other common methods do
745 + significantly less well.  
746 +
747 + The unmodified cutoff method is essentially unusable.  This is not
748 + surprising since hard cutoffs give large energy fluctuations as atoms
749 + or molecules move in and out of the cutoff
750 + radius.\cite{Rahman71,Adams79} These fluctuations can be alleviated to
751 + some degree by using group based cutoffs with a switching
752 + function.\cite{Adams79,Steinbach94,Leach01} However, we do not see
753 + significant improvement using the group-switched cutoff because the
754 + salt and salt solution systems contain non-neutral groups.  Interested
755 + readers can consult the accompanying supporting information for a
756 + comparison where all groups are neutral.\cite{EPAPSdeposit}
757 +
758 + For the {\sc sp} method, inclusion of electrostatic damping improves
759 + the agreement with Ewald, and using an $\alpha$ of 0.2 \AA $^{-1}$
760 + shows an excellent correlation and quality of fit with the {\sc spme}
761 + results, particularly with a cutoff radius greater than 12
762 + \AA .  Use of a larger damping parameter is more helpful for the
763 + shortest cutoff shown, but it has a detrimental effect on simulations
764 + with larger cutoffs.  
765 +
766 + In the {\sc sf} sets, increasing damping results in progressively {\it
767 + worse} correlation with Ewald.  Overall, the undamped case is the best
768 + performing set, as the correlation and quality of fits are
769 + consistently superior regardless of the cutoff distance.  The undamped
770 + case is also less computationally demanding (because no evaluation of
771 + the complementary error function is required).
772 +
773 + The reaction field results illustrates some of that method's
774 + limitations, primarily that it was developed for use in homogenous
775 + systems; although it does provide results that are an improvement over
776 + those from an unmodified cutoff.
777 +
778 + \subsection{Magnitudes of the Force and Torque Vectors}
779 +
780 + Evaluation of pairwise methods for use in Molecular Dynamics
781 + simulations requires consideration of effects on the forces and
782 + torques.  Figures \ref{fig:frcMag} and \ref{fig:trqMag} show the
783 + regression results for the force and torque vector magnitudes,
784 + respectively.  The data in these figures was generated from an
785 + accumulation of the statistics from all of the system types.
786 +
787 + \begin{figure}
788 + \centering
789 + \includegraphics[width=5.5in]{./frcMagplot.pdf}
790 + \caption{Statistical analysis of the quality of the force vector
791 + magnitudes for a given electrostatic method compared with the
792 + reference Ewald sum.  Results with a value equal to 1 (dashed line)
793 + indicate force magnitude values indistinguishable from those obtained
794 + using {\sc spme}.  Different values of the cutoff radius are indicated with
795 + different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ =
796 + inverted triangles).}
797 + \label{fig:frcMag}
798 + \end{figure}
799 +
800 + Again, it is striking how well the Shifted Potential and Shifted Force
801 + methods are doing at reproducing the {\sc spme} forces.  The undamped and
802 + weakly-damped {\sc sf} method gives the best agreement with Ewald.
803 + This is perhaps expected because this method explicitly incorporates a
804 + smooth transition in the forces at the cutoff radius as well as the
805 + neutralizing image charges.
806 +
807 + Figure \ref{fig:frcMag}, for the most part, parallels the results seen
808 + in the previous $\Delta E$ section.  The unmodified cutoff results are
809 + poor, but using group based cutoffs and a switching function provides
810 + an improvement much more significant than what was seen with $\Delta
811 + E$.
812 +
813 + With moderate damping and a large enough cutoff radius, the {\sc sp}
814 + method is generating usable forces.  Further increases in damping,
815 + while beneficial for simulations with a cutoff radius of 9 \AA\ , is
816 + detrimental to simulations with larger cutoff radii.
817 +
818 + The reaction field results are surprisingly good, considering the poor
819 + quality of the fits for the $\Delta E$ results.  There is still a
820 + considerable degree of scatter in the data, but the forces correlate
821 + well with the Ewald forces in general.  We note that the reaction
822 + field calculations do not include the pure NaCl systems, so these
823 + results are partly biased towards conditions in which the method
824 + performs more favorably.
825 +
826 + \begin{figure}
827 + \centering
828 + \includegraphics[width=5.5in]{./trqMagplot.pdf}
829 + \caption{Statistical analysis of the quality of the torque vector
830 + magnitudes for a given electrostatic method compared with the
831 + reference Ewald sum.  Results with a value equal to 1 (dashed line)
832 + indicate torque magnitude values indistinguishable from those obtained
833 + using {\sc spme}.  Different values of the cutoff radius are indicated with
834 + different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ =
835 + inverted triangles).}
836 + \label{fig:trqMag}
837 + \end{figure}
838 +
839 + Molecular torques were only available from the systems which contained
840 + rigid molecules (i.e. the systems containing water).  The data in
841 + fig. \ref{fig:trqMag} is taken from this smaller sampling pool.
842 +
843 + Torques appear to be much more sensitive to charges at a longer
844 + distance.   The striking feature in comparing the new electrostatic
845 + methods with {\sc spme} is how much the agreement improves with increasing
846 + cutoff radius.  Again, the weakly damped and undamped {\sc sf} method
847 + appears to be reproducing the {\sc spme} torques most accurately.  
848 +
849 + Water molecules are dipolar, and the reaction field method reproduces
850 + the effect of the surrounding polarized medium on each of the
851 + molecular bodies. Therefore it is not surprising that reaction field
852 + performs best of all of the methods on molecular torques.
853 +
854 + \subsection{Directionality of the Force and Torque Vectors}
855 +
856 + It is clearly important that a new electrostatic method can reproduce
857 + the magnitudes of the force and torque vectors obtained via the Ewald
858 + sum. However, the {\it directionality} of these vectors will also be
859 + vital in calculating dynamical quantities accurately.  Force and
860 + torque directionalities were investigated by measuring the angles
861 + formed between these vectors and the same vectors calculated using
862 + {\sc spme}.  The results (Fig. \ref{fig:frcTrqAng}) are compared through the
863 + variance ($\sigma^2$) of the Gaussian fits of the angle error
864 + distributions of the combined set over all system types.
865 +
866 + \begin{figure}
867 + \centering
868 + \includegraphics[width=5.5in]{./frcTrqAngplot.pdf}
869 + \caption{Statistical analysis of the width of the angular distribution
870 + that the force and torque vectors from a given electrostatic method
871 + make with their counterparts obtained using the reference Ewald sum.
872 + Results with a variance ($\sigma^2$) equal to zero (dashed line)
873 + indicate force and torque directions indistinguishable from those
874 + obtained using {\sc spme}.  Different values of the cutoff radius are
875 + indicated with different symbols (9\AA\ = circles, 12\AA\ = squares,
876 + and 15\AA\ = inverted triangles).}
877 + \label{fig:frcTrqAng}
878 + \end{figure}
879  
880 + Both the force and torque $\sigma^2$ results from the analysis of the
881 + total accumulated system data are tabulated in figure
882 + \ref{fig:frcTrqAng}. Here it is clear that the Shifted Potential ({\sc
883 + sp}) method would be essentially unusable for molecular dynamics
884 + unless the damping function is added.  The Shifted Force ({\sc sf})
885 + method, however, is generating force and torque vectors which are
886 + within a few degrees of the Ewald results even with weak (or no)
887 + damping.
888 +
889 + All of the sets (aside from the over-damped case) show the improvement
890 + afforded by choosing a larger cutoff radius.  Increasing the cutoff
891 + from 9 to 12 \AA\ typically results in a halving of the width of the
892 + distribution, with a similar improvement when going from 12 to 15
893 + \AA .
894 +
895 + The undamped {\sc sf}, group-based cutoff, and reaction field methods
896 + all do equivalently well at capturing the direction of both the force
897 + and torque vectors.  Using the electrostatic damping improves the
898 + angular behavior significantly for the {\sc sp} and moderately for the
899 + {\sc sf} methods.  Overdamping is detrimental to both methods.  Again
900 + it is important to recognize that the force vectors cover all
901 + particles in all seven systems, while torque vectors are only
902 + available for neutral molecular groups.  Damping is more beneficial to
903 + charged bodies, and this observation is investigated further in the
904 + accompanying supporting information.\cite{EPAPSdeposit}
905 +
906 + Although not discussed previously, group based cutoffs can be applied
907 + to both the {\sc sp} and {\sc sf} methods.  The group-based cutoffs
908 + will reintroduce small discontinuities at the cutoff radius, but the
909 + effects of these can be minimized by utilizing a switching function.
910 + Though there are no significant benefits or drawbacks observed in
911 + $\Delta E$ and the force and torque magnitudes when doing this, there
912 + is a measurable improvement in the directionality of the forces and
913 + torques. Table \ref{tab:groupAngle} shows the angular variances
914 + obtained using group based cutoffs along with the results seen in
915 + figure \ref{fig:frcTrqAng}.  The {\sc sp} (with an $\alpha$ of 0.2
916 + \AA$^{-1}$ or smaller) shows much narrower angular distributions when
917 + using group-based cutoffs. The {\sc sf} method likewise shows
918 + improvement in the undamped and lightly damped cases.
919 +
920 + \begin{table}[htbp]
921 +   \centering
922 +   \caption{Statistical analysis of the angular
923 +   distributions that the force (upper) and torque (lower) vectors
924 +   from a given electrostatic method make with their counterparts
925 +   obtained using the reference Ewald sum.  Calculations were
926 +   performed both with (Y) and without (N) group based cutoffs and a
927 +   switching function.  The $\alpha$ values have units of \AA$^{-1}$
928 +   and the variance values have units of degrees$^2$.}
929 +
930 +   \begin{tabular}{@{} ccrrrrrrrr @{}}
931 +      \\
932 +      \toprule
933 +      & & \multicolumn{4}{c}{Shifted Potential} & \multicolumn{4}{c}{Shifted Force} \\
934 +      \cmidrule(lr){3-6}
935 +      \cmidrule(l){7-10}
936 +            $R_\textrm{c}$ & Groups & $\alpha = 0$ & $\alpha = 0.1$ & $\alpha = 0.2$ & $\alpha = 0.3$ & $\alpha = 0$ & $\alpha = 0.1$ & $\alpha = 0.2$ & $\alpha = 0.3$\\
937 +      \midrule
938 +    
939 + 9 \AA   & N & 29.545 & 12.003 & 5.489 & 0.610 & 2.323 & 2.321 & 0.429 & 0.603 \\
940 +        & \textbf{Y} & \textbf{2.486} & \textbf{2.160} & \textbf{0.667} & \textbf{0.608} & \textbf{1.768} & \textbf{1.766} & \textbf{0.676} & \textbf{0.609} \\
941 + 12 \AA  & N & 19.381 & 3.097 & 0.190 & 0.608 & 0.920 & 0.736 & 0.133 & 0.612 \\
942 +        & \textbf{Y} & \textbf{0.515} & \textbf{0.288} & \textbf{0.127} & \textbf{0.586} & \textbf{0.308} & \textbf{0.249} & \textbf{0.127} & \textbf{0.586} \\
943 + 15 \AA  & N & 12.700 & 1.196 & 0.123 & 0.601 & 0.339 & 0.160 & 0.123 & 0.601 \\
944 +        & \textbf{Y} & \textbf{0.228} & \textbf{0.099} & \textbf{0.121} & \textbf{0.598} & \textbf{0.144} & \textbf{0.090} & \textbf{0.121} & \textbf{0.598} \\      
945 +
946 +      \midrule
947 +      
948 + 9 \AA   & N & 262.716 & 116.585 & 5.234 & 5.103 & 2.392 & 2.350 & 1.770 & 5.122 \\
949 +        & \textbf{Y} & \textbf{2.115} & \textbf{1.914} & \textbf{1.878} & \textbf{5.142} & \textbf{2.076} & \textbf{2.039} & \textbf{1.972} & \textbf{5.146} \\
950 + 12 \AA  & N & 129.576 & 25.560 & 1.369 & 5.080 & 0.913 & 0.790 & 1.362 & 5.124 \\
951 +        & \textbf{Y} & \textbf{0.810} & \textbf{0.685} & \textbf{1.352} & \textbf{5.082} & \textbf{0.765} & \textbf{0.714} & \textbf{1.360} & \textbf{5.082} \\
952 + 15 \AA  & N & 87.275 & 4.473 & 1.271 & 5.000 & 0.372 & 0.312 & 1.271 & 5.000 \\
953 +        & \textbf{Y} & \textbf{0.282} & \textbf{0.294} & \textbf{1.272} & \textbf{4.999} & \textbf{0.324} & \textbf{0.318} & \textbf{1.272} & \textbf{4.999} \\
954 +
955 +      \bottomrule
956 +   \end{tabular}
957 +   \label{tab:groupAngle}
958 + \end{table}
959 +
960 + One additional trend in table \ref{tab:groupAngle} is that the
961 + $\sigma^2$ values for both {\sc sp} and {\sc sf} converge as $\alpha$
962 + increases, something that is more obvious with group-based cutoffs.
963 + The complimentary error function inserted into the potential weakens
964 + the electrostatic interaction as the value of $\alpha$ is increased.
965 + However, at larger values of $\alpha$, it is possible to overdamp the
966 + electrostatic interaction and to remove it completely.  Kast
967 + \textit{et al.}  developed a method for choosing appropriate $\alpha$
968 + values for these types of electrostatic summation methods by fitting
969 + to $g(r)$ data, and their methods indicate optimal values of 0.34,
970 + 0.25, and 0.16 \AA$^{-1}$ for cutoff values of 9, 12, and 15 \AA\
971 + respectively.\cite{Kast03} These appear to be reasonable choices to
972 + obtain proper MC behavior (Fig. \ref{fig:delE}); however, based on
973 + these findings, choices this high would introduce error in the
974 + molecular torques, particularly for the shorter cutoffs.  Based on our
975 + observations, empirical damping up to 0.2 \AA$^{-1}$ is beneficial,
976 + but damping may be unnecessary when using the {\sc sf} method.
977 +
978 + \subsection{Short-Time Dynamics: Velocity Autocorrelation Functions of NaCl Crystals}
979 +
980 + Zahn {\it et al.} investigated the structure and dynamics of water
981 + using eqs. (\ref{eq:ZahnPot}) and
982 + (\ref{eq:WolfForces}).\cite{Zahn02,Kast03} Their results indicated
983 + that a method similar (but not identical with) the damped {\sc sf}
984 + method resulted in properties very similar to those obtained when
985 + using the Ewald summation.  The properties they studied (pair
986 + distribution functions, diffusion constants, and velocity and
987 + orientational correlation functions) may not be particularly sensitive
988 + to the long-range and collective behavior that governs the
989 + low-frequency behavior in crystalline systems.  Additionally, the
990 + ionic crystals are the worst case scenario for the pairwise methods
991 + because they lack the reciprocal space contribution contained in the
992 + Ewald summation.  
993 +
994 + We are using two separate measures to probe the effects of these
995 + alternative electrostatic methods on the dynamics in crystalline
996 + materials.  For short- and intermediate-time dynamics, we are
997 + computing the velocity autocorrelation function, and for long-time
998 + and large length-scale collective motions, we are looking at the
999 + low-frequency portion of the power spectrum.
1000 +
1001 + \begin{figure}
1002 + \centering
1003 + \includegraphics[width = \linewidth]{./vCorrPlot.pdf}
1004 + \caption{Velocity autocorrelation functions of NaCl crystals at
1005 + 1000 K using {\sc spme}, {\sc sf} ($\alpha$ = 0.0, 0.1, \& 0.2), and {\sc
1006 + sp} ($\alpha$ = 0.2). The inset is a magnification of the area around
1007 + the first minimum.  The times to first collision are nearly identical,
1008 + but differences can be seen in the peaks and troughs, where the
1009 + undamped and weakly damped methods are stiffer than the moderately
1010 + damped and {\sc spme} methods.}
1011 + \label{fig:vCorrPlot}
1012 + \end{figure}
1013 +
1014 + The short-time decay of the velocity autocorrelation function through
1015 + the first collision are nearly identical in figure
1016 + \ref{fig:vCorrPlot}, but the peaks and troughs of the functions show
1017 + how the methods differ.  The undamped {\sc sf} method has deeper
1018 + troughs (see inset in Fig. \ref{fig:vCorrPlot}) and higher peaks than
1019 + any of the other methods.  As the damping parameter ($\alpha$) is
1020 + increased, these peaks are smoothed out, and the {\sc sf} method
1021 + approaches the {\sc spme} results.  With $\alpha$ values of 0.2 \AA$^{-1}$,
1022 + the {\sc sf} and {\sc sp} functions are nearly identical and track the
1023 + {\sc spme} features quite well.  This is not surprising because the {\sc sf}
1024 + and {\sc sp} potentials become nearly identical with increased
1025 + damping.  However, this appears to indicate that once damping is
1026 + utilized, the details of the form of the potential (and forces)
1027 + constructed out of the damped electrostatic interaction are less
1028 + important.
1029 +
1030 + \subsection{Collective Motion: Power Spectra of NaCl Crystals}
1031 +
1032 + To evaluate how the differences between the methods affect the
1033 + collective long-time motion, we computed power spectra from long-time
1034 + traces of the velocity autocorrelation function. The power spectra for
1035 + the best-performing alternative methods are shown in
1036 + fig. \ref{fig:methodPS}.  Apodization of the correlation functions via
1037 + a cubic switching function between 40 and 50 ps was used to reduce the
1038 + ringing resulting from data truncation.  This procedure had no
1039 + noticeable effect on peak location or magnitude.
1040 +
1041 + \begin{figure}
1042 + \centering
1043 + \includegraphics[width = \linewidth]{./spectraSquare.pdf}
1044 + \caption{Power spectra obtained from the velocity auto-correlation
1045 + functions of NaCl crystals at 1000 K while using {\sc spme}, {\sc sf}
1046 + ($\alpha$ = 0, 0.1, \& 0.2), and {\sc sp} ($\alpha$ = 0.2).  The inset
1047 + shows the frequency region below 100 cm$^{-1}$ to highlight where the
1048 + spectra differ.}
1049 + \label{fig:methodPS}
1050 + \end{figure}
1051 +
1052 + While the high frequency regions of the power spectra for the
1053 + alternative methods are quantitatively identical with Ewald spectrum,
1054 + the low frequency region shows how the summation methods differ.
1055 + Considering the low-frequency inset (expanded in the upper frame of
1056 + figure \ref{fig:dampInc}), at frequencies below 100 cm$^{-1}$, the
1057 + correlated motions are blue-shifted when using undamped or weakly
1058 + damped {\sc sf}.  When using moderate damping ($\alpha = 0.2$
1059 + \AA$^{-1}$) both the {\sc sf} and {\sc sp} methods give nearly identical
1060 + correlated motion to the Ewald method (which has a convergence
1061 + parameter of 0.3119 \AA$^{-1}$).  This weakening of the electrostatic
1062 + interaction with increased damping explains why the long-ranged
1063 + correlated motions are at lower frequencies for the moderately damped
1064 + methods than for undamped or weakly damped methods.
1065 +
1066 + To isolate the role of the damping constant, we have computed the
1067 + spectra for a single method ({\sc sf}) with a range of damping
1068 + constants and compared this with the {\sc spme} spectrum.
1069 + Fig. \ref{fig:dampInc} shows more clearly that increasing the
1070 + electrostatic damping red-shifts the lowest frequency phonon modes.
1071 + However, even without any electrostatic damping, the {\sc sf} method
1072 + has at most a 10 cm$^{-1}$ error in the lowest frequency phonon mode.
1073 + Without the {\sc sf} modifications, an undamped (pure cutoff) method
1074 + would predict the lowest frequency peak near 325 cm$^{-1}$.  {\it
1075 + Most} of the collective behavior in the crystal is accurately captured
1076 + using the {\sc sf} method.  Quantitative agreement with Ewald can be
1077 + obtained using moderate damping in addition to the shifting at the
1078 + cutoff distance.
1079 +
1080 + \begin{figure}
1081 + \centering
1082 + \includegraphics[width = \linewidth]{./increasedDamping.pdf}
1083 + \caption{Effect of damping on the two lowest-frequency phonon modes in
1084 + the NaCl crystal at 1000~K.  The undamped shifted force ({\sc sf})
1085 + method is off by less than 10 cm$^{-1}$, and increasing the
1086 + electrostatic damping to 0.25 \AA$^{-1}$ gives quantitative agreement
1087 + with the power spectrum obtained using the Ewald sum.  Overdamping can
1088 + result in underestimates of frequencies of the long-wavelength
1089 + motions.}
1090 + \label{fig:dampInc}
1091 + \end{figure}
1092 +
1093   \section{Conclusions}
1094  
1095 + This investigation of pairwise electrostatic summation techniques
1096 + shows that there are viable and computationally efficient alternatives
1097 + to the Ewald summation.  These methods are derived from the damped and
1098 + cutoff-neutralized Coulombic sum originally proposed by Wolf
1099 + \textit{et al.}\cite{Wolf99} In particular, the {\sc sf}
1100 + method, reformulated above as eqs. (\ref{eq:DSFPot}) and
1101 + (\ref{eq:DSFForces}), shows a remarkable ability to reproduce the
1102 + energetic and dynamic characteristics exhibited by simulations
1103 + employing lattice summation techniques.  The cumulative energy
1104 + difference results showed the undamped {\sc sf} and moderately damped
1105 + {\sc sp} methods produced results nearly identical to {\sc spme}.  Similarly
1106 + for the dynamic features, the undamped or moderately damped {\sc sf}
1107 + and moderately damped {\sc sp} methods produce force and torque vector
1108 + magnitude and directions very similar to the expected values.  These
1109 + results translate into long-time dynamic behavior equivalent to that
1110 + produced in simulations using {\sc spme}.
1111 +
1112 + As in all purely-pairwise cutoff methods, these methods are expected
1113 + to scale approximately {\it linearly} with system size, and they are
1114 + easily parallelizable.  This should result in substantial reductions
1115 + in the computational cost of performing large simulations.
1116 +
1117 + Aside from the computational cost benefit, these techniques have
1118 + applicability in situations where the use of the Ewald sum can prove
1119 + problematic.  Of greatest interest is their potential use in
1120 + interfacial systems, where the unmodified lattice sum techniques
1121 + artificially accentuate the periodicity of the system in an
1122 + undesirable manner.  There have been alterations to the standard Ewald
1123 + techniques, via corrections and reformulations, to compensate for
1124 + these systems; but the pairwise techniques discussed here require no
1125 + modifications, making them natural tools to tackle these problems.
1126 + Additionally, this transferability gives them benefits over other
1127 + pairwise methods, like reaction field, because estimations of physical
1128 + properties (e.g. the dielectric constant) are unnecessary.
1129 +
1130 + If a researcher is using Monte Carlo simulations of large chemical
1131 + systems containing point charges, most structural features will be
1132 + accurately captured using the undamped {\sc sf} method or the {\sc sp}
1133 + method with an electrostatic damping of 0.2 \AA$^{-1}$.  These methods
1134 + would also be appropriate for molecular dynamics simulations where the
1135 + data of interest is either structural or short-time dynamical
1136 + quantities.  For long-time dynamics and collective motions, the safest
1137 + pairwise method we have evaluated is the {\sc sf} method with an
1138 + electrostatic damping between 0.2 and 0.25
1139 + \AA$^{-1}$.
1140 +
1141 + We are not suggesting that there is any flaw with the Ewald sum; in
1142 + fact, it is the standard by which these simple pairwise sums have been
1143 + judged.  However, these results do suggest that in the typical
1144 + simulations performed today, the Ewald summation may no longer be
1145 + required to obtain the level of accuracy most researchers have come to
1146 + expect.
1147 +
1148   \section{Acknowledgments}
1149 + Support for this project was provided by the National Science
1150 + Foundation under grant CHE-0134881.  The authors would like to thank
1151 + Steve Corcelli and Ed Maginn for helpful discussions and comments.
1152  
1153 < \newpage
1153 > \newpage
1154  
1155 < \bibliographystyle{achemso}
1155 > \bibliographystyle{jcp2}
1156   \bibliography{electrostaticMethods}
1157  
1158  

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